Multi-period sampling bias

Multi-period sampling bias arises when the imposition of a minimum history requirement on time-series data excludes some data. For example, when looking at the returns generated by funds, investments that have been in existence for less than a minimum period may be excluded. This may give different results because the more recently launched funds may have performed better or worse.